Causal reconstruction is the task of reading a written causal description of a physical behavior, forming an internal model of the described activity, and demonstrating comprehension through question answering. T his task is difficult because written d escriptions often do…

We had previously shown that regularization principles lead to approximation schemes, as Radial Basis Functions, which are equivalent to networks with one layer of hidden units, called Regularization Networks. In this paper we show that regularization networks encompass a much…

A key problem in model-based object recognition is selection, namely, the problem of isolating regions in an image that are likely to come from a single object. This isolation can be either based solely on image data (data-driven) or can…

Gene expression arrays are a technology used to measure quantities of messenger ribonucleic acid (mRNA). Application of the technology involves a variety of physical processes beginning with the acquisition of mRNA samples and ending with the fluorescence imaging of a…

Nearly 2% of all live births are very premature (gestational age less than 32 weeks), and 50% of all new cases of cerebral palsy occur in survivors of premature birth (gestational age less than 37 weeks). Because of their underdeveloped…

This study presents a theoretical model for predictions of near-shore hydrodynamic characteristics and the local sediment transport rate along long, straight beaches. The wave may be periodic or random, the beach may be plane or barred, and the bed may…

Background: Local adaptation of guidelines may increase compliance with guidelines that have been developed at a national level and are often not used in practice because of contextual factors. We have developed a representation scheme known as HieroGLIF, that facilitates…

This thesis developed and applied tools to bridge the gap between available data and action for urban air quality management, focusing on strategies to reduce particle concentrations. One of the principal thesis contributions is a Bayesian method to exploit the…

by William J. Flynn, III., Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1993., Includes bibliographical references (leaves 52-54).

by Robyn Arlene Edelson Kozierok., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993., Includes bibliographical references (leaves 99-100).